Leveraging Artificial Intelligence for Enhanced Sales Forecasting Accuracy: A Review of AI-Driven Techniques and Practical Applications in Customer Relationship Management Systems
Keywords:
AI-driven sales forecasting, CRM systemsAbstract
Modern workplaces are fluctuating. Sales forecasting improves revenue growth, resource allocation, and financial risk. CRM systems preserve client data including contact history, purchasing patterns, and communication trends, making them crucial to sales. Using intuition and sales trends to predict is biased and data-poor. Constraints may undervalue sales potential or overvalue past achievement, hindering market adaption.
This research examines CRM AI sales forecasting. We study NLP, deep learning, and machine learning algorithms. We evaluate forecasting accuracy and limitations. Data quality, quantity, model interpretability and explainability, non-linear correlation capture, and hidden pattern identification are evaluated. Intelligent AI models on vast datasets can identify small consumer behavior changes more accurately and robustly than earlier methods.
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